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Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy

22 January 2024

Jacob Phillips

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Papers citing "Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy"

47 / 47 papers shown

Title
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift Will LeVine Benjamin Pikus Tony Chen Sean Hendryx 500 16 0 21 Nov 2023
LINe: Out-of-Distribution Detection by Leveraging Important NeuronsComputer Vision and Pattern Recognition (CVPR), 2023 Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 280 43 0 24 Mar 2023
Extremely Simple Activation Shaping for Out-of-Distribution DetectionInternational Conference on Learning Representations (ICLR), 2022 Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 386 199 0 20 Sep 2022
POEM: Out-of-Distribution Detection with Posterior SamplingInternational Conference on Machine Learning (ICML), 2022 Yifei Ming Ying Fan Shouqing Yang OODD 241 139 0 28 Jun 2022
Out-of-Distribution Detection with Deep Nearest NeighborsInternational Conference on Machine Learning (ICML), 2022 Yiyou Sun Yifei Ming Xiaojin Zhu Shouqing Yang OODD 486 670 0 13 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 184 21 0 06 Apr 2022
Training OOD Detectors in their Natural HabitatsInternational Conference on Machine Learning (ICML), 2022 Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Shouqing Yang OODD 199 102 0 07 Feb 2022
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Shouqing Yang OODD 359 570 0 24 Nov 2021
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Yu Tian Yuyuan Liu Guansong Pang Fengbei Liu Yuanhong Chen G. Carneiro 413 107 0 24 Nov 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Shouqing Yang 609 413 0 01 Oct 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene SegmentationIEEE International Conference on Computer Vision (ICCV), 2021 Sanghun Jung Jungsoo Lee Daehoon Gwak Sungha Choi Jaegul Choo 240 112 0 23 Jul 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic SpaceComputer Vision and Pattern Recognition (CVPR), 2021 Rui Huang Shouqing Yang OODD 323 293 0 05 May 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data AugmentationIEEE International Conference on Computer Vision (ICCV), 2021 Samuel G. Müller Katharina Eggensperger ViT MQ 268 352 0 18 Mar 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 2.0K 40,143 0 26 Feb 2021
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2020 Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 321 177 0 09 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 1.3K 53,875 0 22 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Shouqing Yang OODD 931 1,639 0 08 Oct 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 786 5,441 0 23 Apr 2020
X3D: Expanding Architectures for Efficient Video RecognitionComputer Vision and Pattern Recognition (CVPR), 2020 Christoph Feichtenhofer 356 1,205 0 09 Apr 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution DataComputer Vision and Pattern Recognition (CVPR), 2020 Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 368 650 0 26 Feb 2020
Scaling Out-of-Distribution Detection for Real-World SettingsInternational Conference on Machine Learning (ICML), 2022 Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 573 582 0 25 Nov 2019
Accurate Layerwise Interpretable Competence EstimationNeural Information Processing Systems (NeurIPS), 2019 Vickram Rajendran Will LeVine 151 10 0 24 Oct 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset ShiftNeural Information Processing Systems (NeurIPS), 2019 Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 969 1,902 0 06 Jun 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 247 200 0 16 Apr 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 1.2K 1,632 0 11 Dec 2018
Improving Semantic Segmentation via Video Propagation and Label Relaxation Yi Zhu Karan Sapra F. Reda Kevin J. Shih Shawn D. Newsam Andrew Tao Bryan Catanzaro 192 404 0 04 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 233 245 0 30 Nov 2018
SDCNet: Video Prediction Using Spatially-Displaced Convolution F. Reda Guilin Liu Kevin J. Shih Robert M. Kirby Jon Barker D. Tarjan Andrew Tao Bryan Catanzaro 202 152 0 02 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 2.8K 106,943 0 11 Oct 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 452 2,336 0 10 Jul 2018
On Calibration of Modern Neural NetworksInternational Conference on Machine Learning (ICML), 2017 Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 1.3K 6,792 0 14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural NetworksInternational Conference on Learning Representations (ICLR), 2017 Shiyu Liang Shouqing Yang R. Srikant UQCV OODD 999 2,297 0 08 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksInternational Conference on Learning Representations (ICLR), 2016 Dan Hendrycks Kevin Gimpel UQCV 1.3K 3,878 0 07 Oct 2016
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles Peter Pinggera Sebastian Ramos S. Gehrig Uwe Franke Carsten Rother Rudolf Mester UQCV 147 212 0 15 Sep 2016
Densely Connected Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2016 Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 1.8K 40,736 0 25 Aug 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 536 5,911 0 20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.6K 12,735 0 06 Apr 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 1.1K 10,811 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.6K 214,937 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 2.1K 33,038 0 08 Dec 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 360 2,515 0 10 Jun 2015
You Only Look Once: Unified, Real-Time Object DetectionComputer Vision and Pattern Recognition (CVPR), 2015 Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 1.4K 41,989 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015 Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 1.4K 68,739 0 04 Jun 2015
Fast R-CNN Ross B. Girshick ObjD 769 27,257 0 30 Apr 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable ImagesComputer Vision and Pattern Recognition (CVPR), 2014 Anh Totti Nguyen J. Yosinski Jeff Clune AAML 598 3,412 0 05 Dec 2014
Microsoft COCO: Common Objects in ContextEuropean Conference on Computer Vision (ECCV), 2014 Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 13.0K 48,951 0 01 May 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 530 3,174 0 14 Nov 2013